Idioms as multi-word expressions in Turkish

Download

12625945.pdf

Date

2020-10

Author

Güven, Arzu Burcu

Metadata

Show full item record

Item Usage Stats

212
views

219
downloads

Idioms constitute several challenges for both Natural Language Processing (NLP) and linguistic analysis. A better understanding of idioms will yield valuable insights about natural language as well as the way it is processed. The relevance of idioms, along with the fact that Turkish is a rather unexplored language from this perspective, motivates us to work on Turkish idioms. Here, we aim to demonstrate a grammatical study on Turkish idioms that were selected in accordance with distributional models.

Subject Keywords

MWE, Idiom, CCG, Distributional Semantics, Word Embedding

URI

https://hdl.handle.net/11511/69061

Collections

Graduate School of Informatics, Thesis

Suggestions

OpenMETU
Core

An examination of quantifier scope ambiguity in Turkish Kurt, Kürşad; Bozşahin, Hüseyin Cem; Department of Cognitive Sciences (2006) This study investigates the problem of quantifier scope ambiguity in natural languages and the various ways with which it has been accounted for, some of which are problematic for monotonic theories of grammar like Combinatory Categorial Grammar (CCG) which strive for solutions that avoid non-monotonic functional application, and assume complete transparency between the syntax and the semantics interface of a language. Another purpose of this thesis is to explore these proposals on examples from Turkish and...
Twitter Sentiment Analysis Experiments Using Word Embeddings on Datasets of Various Scales Arslan, Yusuf; Kucuk, Dilek; Birtürk, Ayşe Nur (2018-06-15) Sentiment analysis is a popular research topic in social media analysis and natural language processing. In this paper, we present the details and evaluation results of our Twitter sentiment analysis experiments which are based on word embeddings vectors such as word2vec and doc2vec, using an ANN classifier. In these experiments, we utilized two publicly available sentiment analysis datasets and four smaller datasets derived from these datasets, in addition to a publicly available trained vector model over ...
DISTRIBUTIONAL INVESTIGATION OF SOME FREQUENT TURKISH DERIVATIONAL AFFIXES FOR EXPLORING THEIR SEMANTICS Özdemir, Gizem Nur; Bozşahin, Hüseyin Cem; Department of Bioinformatics (2021-7-14) In agglutinating languages such as Turkish, the process of derivation is mostly performed by adding suffixes at the end of words. Most of the derivational suffixes carry a distinctive semantic content and representing them has an important role in computational tasks, such as question answering. In this thesis, we aim to explore the structure of some frequent Turkish derivational suffixes in distributional vector space by clustering word embedding vectors of them and analyzing their underlying semantic prop...
Language learning from the perspective of nonlinear dynamic systems Hohenberger, Annette Edeltraud; Peltzer-Karpf, Annemarie (Walter de Gruyter GmbH, 2009-01-01) This article outlines a nonlinear dynamic systems approach to language learning on the basis of developmental cognitive neuroscience. Language learning, on this view, is a process of experience-dependent shaping and selection of broadly defined domain-general and domain-specific genetic predispositions. The central concept of development is (neuro) cognitive,e growth in terms of self-organization. Linguistic structure-building is synergetic and emergent insofar as the acquisition of a critical mass of eleme...
Incremental processing in head-final child language: online comprehension of relative clauses in Turkish-speaking children and adults Özge, Duygu; Zeyrek Bozşahin, Deniz (2015-10-21) The present study investigates the parsing of pre-nominal relative clauses (RCs) in children for the first time with a real-time methodology that reveals moment-to-moment processing patterns as the sentence unfolds. A self-paced listening experiment with Turkish-speaking children (aged 5-8) and adults showed that both groups display a sign of processing cost both in subject and object RCs at different points through the flow of the utterance when integrating the cues that are uninformative (i.e., ambiguous ...

Citation Formats

A. B. Güven, “Idioms as multi-word expressions in Turkish,” M.S. - Master of Science, Middle East Technical University, 2020.